# ==================================================================== # # TITLE # # Antimicrobial Resistance (AMR) Analysis # # # # SOURCE # # https://gitlab.com/msberends/AMR # # # # LICENCE # # (c) 2019 Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) # # # # This R package is free software; you can freely use and distribute # # it for both personal and commercial purposes under the terms of the # # GNU General Public License version 2.0 (GNU GPL-2), as published by # # the Free Software Foundation. # # # # This R package was created for academic research and was publicly # # released in the hope that it will be useful, but it comes WITHOUT # # ANY WARRANTY OR LIABILITY. # # Visit our website for more info: https://msberends.gitab.io/AMR. # # ==================================================================== # #' The \code{AMR} Package #' #' Welcome to the \code{AMR} package. #' @details #' \code{AMR} is a free and open-source R package to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods. It supports any table format, including WHONET/EARS-Net data. #' #' We created this package for both academic research and routine analysis at the Faculty of Medical Sciences of the University of Groningen and the Medical Microbiology & Infection Prevention (MMBI) department of the University Medical Center Groningen (UMCG). This R package is actively maintained and free software; you can freely use and distribute it for both personal and commercial (but not patent) purposes under the terms of the GNU General Public License version 2.0 (GPL-2), as published by the Free Software Foundation. #' #' This package can be used for: #' \itemize{ #' \item{Reference for microorganisms, since it contains almost all 60,000 microbial (sub)species from the Catalogue of Life} #' \item{Calculating antimicrobial resistance} #' \item{Calculating empirical susceptibility of both mono therapy and combination therapy} #' \item{Predicting future antimicrobial resistance using regression models} #' \item{Getting properties for any microorganism (like Gram stain, species, genus or family)} #' \item{Getting properties for any antibiotic (like name, ATC code, defined daily dose or trade name)} #' \item{Plotting antimicrobial resistance} #' \item{Determining first isolates to be used for AMR analysis} #' \item{Applying EUCAST expert rules (not the translation from MIC to RSI values)} #' \item{Determining multi-drug resistant organisms (MDRO)} #' \item{Descriptive statistics: frequency tables, kurtosis and skewness} #' } #' @section Authors: #' Matthijs S. Berends[1,2] Christian F. Luz[1], Erwin E.A. Hassing[2], Corinna Glasner[1], Alex W. Friedrich[1], Bhanu N.M. Sinha[1] \cr #' #' [1] Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands - \url{rug.nl} \url{umcg.nl} \cr #' [2] Certe Medical Diagnostics & Advice, Groningen, the Netherlands - \url{certe.nl} #' @section Read more on our website!: #' On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a comprehensive tutorial} about how to conduct AMR analysis, the \href{https://msberends.gitlab.io/AMR/reference}{complete documentation of all functions} (which reads a lot easier than here in R) and \href{https://msberends.gitlab.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}. #' @section Contact us: #' For suggestions, comments or questions, please contact us at: #' #' Matthijs S. Berends \cr #' m.s.berends [at] umcg [dot] nl \cr #' Department of Medical Microbiology, University of Groningen \cr #' University Medical Center Groningen \cr #' Post Office Box 30001 \cr #' 9700 RB Groningen #' #' If you have found a bug, please file a new issue at: \cr #' \url{https://gitlab.com/msberends/AMR/issues} #' @name AMR #' @rdname AMR NULL